We develop a variant of the Nelder-Mead (NM) simplex search procedure for stochastic simulation optimization that is designed to avoid many of the weaknesses encumbering such dire...
Local search algorithms are among the standard methods for solving hard combinatorial problems from various areas of Artificial Intelligence and Operations Research. For SAT, some ...
This paper presents an automatic method, based on the deformable template approach, for cell image segmentation under severe noise conditions. We de"ne a new methodology, div...
We address the problem of visual-based navigation of a mobile robot in indoors environments. The robot control system is based on a single camera to provide the required visual fe...
Raquel Frizera Vassallo, Hans J. Schneebeli, Jos&e...
This paper introduces a strategy for training ensemble classifiers by analysing boosting within margin theory. We present a bound on the generalisation error of ensembled classifi...
Huma Lodhi, Grigoris J. Karakoulas, John Shawe-Tay...